Class-Incremental Continual Learning into the eXtended DER-verse

3 January 2022

Papers citing "Class-Incremental Continual Learning into the eXtended DER-verse"

33 / 83 papers shown

Title
Chunking: Continual Learning is not just about Distribution Shift Thomas L. Lee Amos Storkey 25 1 0 03 Oct 2023
Primal Dual Continual Learning: Balancing Stability and Plasticity through Adaptive Memory Allocation Juan Elenter Navid Naderializadeh Tara Javidi Alejandro Ribeiro CLL 26 1 0 29 Sep 2023
HPCR: Holistic Proxy-based Contrastive Replay for Online Continual Learning Huiwei Lin Shanshan Feng Baoquan Zhang Xutao Li Y. Ong CLL 42 0 0 26 Sep 2023
Revisiting Softmax Masking: Stop Gradient for Enhancing Stability in Replay-based Continual Learning Hoyong Kim M. Kwon Kangil Kim CLL 19 0 0 26 Sep 2023
AR-TTA: A Simple Method for Real-World Continual Test-Time Adaptation Damian Sójka Sebastian Cygert Bartlomiej Twardowski Tomasz Trzciñski TTA 15 4 0 18 Sep 2023
A Natural Gas Consumption Forecasting System for Continual Learning Scenarios based on Hoeffding Trees with Change Point Detection Mechanism Radek Svoboda Sebastian Basterrech Jedrzej Kozal Jan Platoš Michal Wo'zniak 22 3 0 07 Sep 2023
ConSlide: Asynchronous Hierarchical Interaction Transformer with Breakup-Reorganize Rehearsal for Continual Whole Slide Image Analysis Yanyan Huang Weiqin Zhao Shujun Wang Yu Fu Yuming Jiang Lequan Yu CLL 30 18 0 25 Aug 2023
Rethinking Client Drift in Federated Learning: A Logit Perspective Yu-bao Yan Chun-Mei Feng Senior Member Ieee Wangmeng Zuo Senior Member Ieee Mang Ye Mong Goh Ping Li Rick Siow Lei Zhu F. I. C. L. Philip Chen FedML 42 8 0 20 Aug 2023
Heterogeneous Forgetting Compensation for Class-Incremental Learning Jiahua Dong Wenqi Liang Yang Cong Gan Sun CLL 26 19 0 07 Aug 2023
AdaER: An Adaptive Experience Replay Approach for Continual Lifelong Learning Xingyu Li Bo Tang Haifeng Li CLL 26 22 0 07 Aug 2023
Self-paced Weight Consolidation for Continual Learning Wei Cong Yang Cong Gan Sun Yuyang Liu Jiahua Dong CLL 27 14 0 20 Jul 2023
Prediction Error-based Classification for Class-Incremental Learning Michal Zajkac Tinne Tuytelaars Gido M. van de Ven CLL 25 8 0 30 May 2023
SHARP: Sparsity and Hidden Activation RePlay for Neuro-Inspired Continual Learning Mustafa Burak Gurbuz J. M. Moorman Constantinos Dovrolis CLL 29 0 0 29 May 2023
Continual Learning with Strong Experience Replay Tao Zhuo Zhiyong Cheng Zan Gao Hehe Fan Mohan S. Kankanhalli CLL VLM 37 2 0 23 May 2023
On the Effectiveness of Equivariant Regularization for Robust Online Continual Learning Lorenzo Bonicelli Matteo Boschini Emanuele Frascaroli Angelo Porrello M. Pennisi Giovanni Bellitto S. Palazzo C. Spampinato Simone Calderara CLL 26 3 0 05 May 2023
DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning Zifeng Wang Zheng Zhan Yifan Gong Yucai Shao Stratis Ioannidis Yanzhi Wang Jennifer Dy CLL 57 10 0 30 Apr 2023
Regularizing Second-Order Influences for Continual Learning Zhicheng Sun Yadong Mu G. Hua CLL 19 22 0 20 Apr 2023
Does Continual Learning Equally Forget All Parameters? Haiyan Zhao Dinesh Manocha Guodong Long Jing Jiang Chengqi Zhang CLL KELM 39 13 0 09 Apr 2023
Large-scale Pre-trained Models are Surprisingly Strong in Incremental Novel Class Discovery Mingxuan Liu Subhankar Roy Zhun Zhong N. Sebe Elisa Ricci CLL SSL 37 10 0 28 Mar 2023
Preserving Linear Separability in Continual Learning by Backward Feature Projection Qiao Gu Dongsub Shim Florian Shkurti CLL KELM 13 10 0 26 Mar 2023
Neuro-Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal Emanuele Marconato G. Bontempo E. Ficarra Simone Calderara Andrea Passerini Stefano Teso NAI LRM CLL 38 20 0 02 Feb 2023
A Comprehensive Survey of Continual Learning: Theory, Method and Application Liyuan Wang Xingxing Zhang Hang Su Jun Zhu KELM CLL 38 601 0 31 Jan 2023
Latent Spectral Regularization for Continual Learning Emanuele Frascaroli Riccardo Benaglia Matteo Boschini Luca Moschella Cosimo Fiorini Emanuele Rodolà Simone Calderara BDL CLL 26 3 0 09 Jan 2023
A soft nearest-neighbor framework for continual semi-supervised learning Zhiqi Kang Enrico Fini Moin Nabi Elisa Ricci Alahari Karteek SSL BDL CLL 24 17 0 09 Dec 2022
Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time Huaxiu Yao Caroline Choi Bochuan Cao Yoonho Lee Pang Wei Koh Chelsea Finn OOD 21 73 0 25 Nov 2022
On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning Lorenzo Bonicelli Matteo Boschini Angelo Porrello C. Spampinato Simone Calderara CLL 20 44 0 12 Oct 2022
Transfer without Forgetting Matteo Boschini Lorenzo Bonicelli Angelo Porrello Giovanni Bellitto M. Pennisi S. Palazzo C. Spampinato Simone Calderara CLL 22 46 0 01 Jun 2022
Learning to Predict Gradients for Semi-Supervised Continual Learning Yan Luo Yongkang Wong Mohan S. Kankanhalli Qi Zhao SSL CLL 44 6 0 23 Jan 2022
Recent Advances of Continual Learning in Computer Vision: An Overview Haoxuan Qu Hossein Rahmani Li Xu Bryan M. Williams Jun Liu VLM CLL 25 73 0 23 Sep 2021
Complementary Calibration: Boosting General Continual Learning with Collaborative Distillation and Self-Supervision Zhong Ji Jin Li Qiang Wang Zhongfei Zhang CLL 25 18 0 03 Sep 2021
Kernel Continual Learning Mohammad Mahdi Derakhshani Xiantong Zhen Ling Shao Cees G. M. Snoek CLL BDL VLM 72 38 0 12 Jul 2021
Adversarial Continual Learning Sayna Ebrahimi Franziska Meier Roberto Calandra Trevor Darrell Marcus Rohrbach CLL VLM 152 198 0 21 Mar 2020
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 308 2,890 0 15 Sep 2016